CscNeuralNetworkGeneticAlgorithmGenerationGenerator.h

Go to the documentation of this file.

/*
 * CscNeuralNetworkGeneticAlgorithmGenerationGenerator.h
 *
 *  Created on: 5 août 2024
 *      Author: Max Lhermitte
 */
 
#ifndef CSCNEURALNETWORKGENETICALGORITHMGENERATIONGENERATOR_H_
#define CSCNEURALNETWORKGENETICALGORITHMGENERATIONGENERATOR_H_
 
#include "CscNeuralNetwork.h"
#include "CscNeuralNetworkGeneticAlgorithmIndividualGenerator.h"
#include "CscNeuralNetworkTensorFlow.h"
 
const unsigned DEFAULT_NB_PARTICIPANTS_IN_TOURNAMENT = 4;
const float DEFAULT_PROBA_FOR_BEST_IN_TOURNAMENT = 0.75f;
 
namespace conscience_core::ai::nn {
 
class CSC_DLL_IMPORTEXPORT CscNeuralNetworkGeneticAlgorithmGenerationGenerator {
public:
    struct CSC_DLL_IMPORTEXPORT NeuralNetworkGeneticAlgorithmGeneration {
    public :
        NeuralNetworkGeneticAlgorithmGeneration(unsigned populationSizeInit);
        ~NeuralNetworkGeneticAlgorithmGeneration();
        
        vector<CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *> *getPopulation() const;
        void setPopulation(vector<CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *> *newPopulation);
        const unsigned getPopulationSize() const;
        
        void addNewIndivual(CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *newHyperparametersIndividual);
        
    private:
        const unsigned populationSize;
        vector<CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *> *population = new vector<CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *>({});
    };
    
    // constructor and destructor
    CscNeuralNetworkGeneticAlgorithmGenerationGenerator(unsigned populationSizeInit, unsigned nbNeuralNetworkInputsInit, unsigned nbNeuralNetworkOutputsInit, unsigned copyPercentOfChanceInit, unsigned crossoverPercentOfChanceInit, unsigned mutationPercentOfChanceInit, CscNeuralNetworkGeneticAlgorithmIndividualGenerator::AllPossibilitiesHyperparameters *allPossibilitiesHyperparameters);
    virtual ~CscNeuralNetworkGeneticAlgorithmGenerationGenerator();
    
    // getters
    CscNeuralNetworkGeneticAlgorithmIndividualGenerator *getIndividualGenerator() const;
    NeuralNetworkGeneticAlgorithmGeneration *getPreviousGeneration() const;
    NeuralNetworkGeneticAlgorithmGeneration *getCurrentGeneration() const;
    const unsigned getPopulationSize() const;
    const unsigned getCopyPercentOfChance() const;
    const unsigned getCrossoverPercentOfChance() const;
    const unsigned getMutationPercentOfChance() const;
 
 
    // public methods
    CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *selectParentByTournament(const unsigned nbParticipantsInTournament = DEFAULT_NB_PARTICIPANTS_IN_TOURNAMENT, const float probaForBestInTournament = DEFAULT_PROBA_FOR_BEST_IN_TOURNAMENT);
    
    void sortCurrentGenerationByResult();
    
    void fillCurrentGenerationRandomly();
    void fillNewCurrentGeneration(unsigned nthGeneration);
    
    void printResultsGenerationCreation();
    
private:
    // Attributes
    unique_ptr<CscLogger> logger;
    CscNeuralNetworkGeneticAlgorithmIndividualGenerator *individualGenerator = nullptr;
    NeuralNetworkGeneticAlgorithmGeneration *previousGeneration = new NeuralNetworkGeneticAlgorithmGeneration(populationSize);
    NeuralNetworkGeneticAlgorithmGeneration *currentGeneration = new NeuralNetworkGeneticAlgorithmGeneration(populationSize);
    const unsigned populationSize;
    const unsigned copyPercentOfChance;
    const unsigned crossoverPercentOfChance;
    const unsigned mutationPercentOfChance;
    
    // Private methods
    CscGeneticOperator drawGeneticOperatorByLot(const unsigned copyPercentOfChance, const unsigned crossoverPercentOfChance, const unsigned mutationPercentOfChance);
    CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *createIndividual(const unsigned individualId, const unsigned generationOfCreation, CscGeneticOperator geneticOperator);
    
    static bool comparaisonByResult(CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *individual1, CscNeuralNetworkGeneticAlgorithmIndividualGenerator::HyperparametersIndividual *individual2);
};
};
 
#endif /* CSCNEURALNETWORKGENETICALGORITHMGENERATIONGENERATOR_H_ */